Abstract
The key objective of this research work is to develop and improve the posture estimation of the robots relative to each other using a combination of visual perception and optical (laser) pointers. The two critical parameters that are estimated in this work are the linear separation between the robots and the orientation angle of the robots. An empirical model is developed for linear separation estimation while five different models are developed towards the estimation of orientation related to the distance.Performance of the developed models are investigation through simulation studies and the results shows that the linear model exhibits an average error of 5.19% while the angular estimation model exhibits an error of 13.9% at a predetermined distance.
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References
Lang, H., Wang, Y., de Silva, C.W.: Mobile Robot Localization and Object Pose Estimation Using Optical Encoder, Vision and Laser Sensors. In: Proceedings of the IEEE International Conference on Automation and Logistics, pp. 617–622 (2008)
Carelli, R., Soria, C.M., Morales, B.: Vision – Based Tracking Control for Mobile Robots. In: ICAR 2005, Proceedings. 12th International Conference on Advanced Robotic, pp. 148–152 (2005)
Chaimowicz, L., Sugar, T., Kumar, V., Campos, M.F.M.: An Architecture for Tightly Coupled Multi – Robot Cooperation. In: Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation, vol. 3, pp. 2992–2997 (2001)
Das, A., Fierro, R., Kumar, V., Ostrowski, J., Spletzer, J., Taylor, C.: A Framework for Vision Based Formation Control. IEEE Transactions on Robotics and Automation 18(6), 813–825 (2001)
Ha, Q.P., Ha, H.M., Dissanayake, G.: Robotic Formation Control using Variable Structure System Approach. In: Distributed Intelligent Systems: IEEE Workshop on Collective Intelligence and Its Applications, pp. 37–42 (2006)
Kanjanawanishkul, K.: Formation Control of Omnidirectional Mobile Robots using Distributed Model Predictive Control. In: Proceedings of the 2nd International Conference on Robotic Communication and Coordination, pp. 1–7 (2009)
Kuppan Chetty, R.M., Singaperumal, M., Nagarajan, T.: Distributed Formation Planning and Navigation Framework for Wheeled Mobile Robots. Journal of Applied Sciences 11(9), 1501–1509 (2011)
Mariottini, G.L., Pappas, G., Prattichizzo, D., Daniilidis, K.: Vision-based Localization of Leader-Follower Formations. In: 44th IEEE Conference on Decision and Control, and the European Control Conference, pp. 635–643 (2005)
Maya-Mendez, M., Morin, P., Samson, C.: Control of a Nonholonomic Mobile Robot Via Sensor-based Target Tracking and Pose Estimation. In: Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 5612–5618 (2006)
Renaud, P., Cervera, E., Martinet, P.: Towards a Reliable Vision Based Mobile Robot Formation Control. In: International Conference on Intelligent Robots and Systems, vol. 4, pp. 3176–3181 (2004)
Shojaeipour, S., Haris, S.M., Shojaeipour, A., Shirvan, R.K., Zakaria, M.K.: Robot Path Obstacle Locator using Webcam and Laser Emitter. Physics Procedia 5, 187–192 (2010)
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Rishwaraj, G., Kuppan Chetty, R.M., Ponnambalam, S.G. (2012). Posture Estimation Strategy for Multi Robot System Based on Visual Perception and Optical Pointer. In: Ponnambalam, S.G., Parkkinen, J., Ramanathan, K.C. (eds) Trends in Intelligent Robotics, Automation, and Manufacturing. IRAM 2012. Communications in Computer and Information Science, vol 330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35197-6_6
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DOI: https://doi.org/10.1007/978-3-642-35197-6_6
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